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October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.

 

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Overqualification of Russian employees: scale, determinants, consequences

Sotsiologicheskie Issledovaniya. 2021. No. 12. P. 175–184.
Varshavskaya E.

The research objective is to estimate the scale
of overqualification mismatch of Russian employees, to find its determinants and influence
on potential turnover and job satisfaction. The empirical basis of the work was microdata
from the Comprehensive Living Conditions Survey conducted by Rosstat in 2018. Measurement
of qualification mismatch is based on respondents' self-assessment. About half of Russian
employees assess their qualifications as excessive. Regression analysis has shown that the most
significant determinant of overqualification is the level of education. Work in the informal
sector, poor working conditions, excessive education and work not in the specialty increase
the probability that the employee will consider himself/herself overqualified. It has been proved
that overqualification is a significant predictor of labor behavior. The probability of searching
for a new, more suitable job is higher for those employees who assess their qualifications as
excessive. Overqualification has a negative effect on job satisfaction, reducing the likelihood
of feeling satisfied and increasing the risks of dissatisfaction.

Research target: Sociology (including Demography and Anthropology Economics and Management
Language: English
Full text
DOI
Keywords: удовлетворенность трудомjob satisfactionквалификационное несоответствиеизбыточная квалификацияпотенциальная текучестьqualification mismatchoverqualificationpotential turnover
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